> That's some twisted logic there.
I prefer the term "counterintuitive". And the world works in ways, many of which are counterintuitive. Another famous example - poverty trap, where people are incentivized to stay poor when you offer them means tested welfare. While each of the pillars of such programs (means testing, helping poor etc) sound good in isolation, they have a devastating impact in practice. Moynihan (a liberal, fwiw) was skewered when he suggested as such.
Many fields that were once dominated by men are now either at parity, or even majority women. The fact that freedom from sexism stopped displacing women into CS doesn't seem like much of a bad thing.
Such a convenient explanation... CS is one of the highest paid professions, and women are taking advantage of lack-of-sexism and choosing to stay out of CS... because umm... they don't need the money? You should consider speaking at the Grace Hopper Conference, because there's lots of women there that haven't been told this truth.
As I stated in my previous comment, it's because other high paying industries stopped being sexist against women, and then the women that would have been pushed out of those industries and into CS can now study and work in the field of their choice. Nowhere did I write that "they don't need the money", and I even said that they were choosing other high paying fields once medicine, law, etc. stopped enforcing overtly sexist policies against women. Discussions are more productive when you engage with what other commenters are writing instead of your own inventions.
Obviously if a choice is starving vs CS, most women would prefer CS. That’s the choice for many women in Iran (most equal country in CS) or India. That’s not choice for most women in US or Europe. We are talking averages here - obviously there are a lot of women much more motivated by money than average men.
But rather than listening to anecdotes, I'll listen to evidence, which also indicates that tech at best does not discriminate against women and likely discriminates in favor of them.
Wrong. 74% of women say they have experienced gender discrimination. This is not measuring discrimination, this is measuring perceptions of discrimination - which is a substantially different thing than actually measuring discrimination through things like anonymized applications, or sending identical applications with different genders. Imagine I had an orchestra. I poll them about gender discrimination, and loads more men say they experienced gender discrimination in hiring. But when we switch to blind auditions, men actually fared worse than women. Which is more compelling evidence?
Perceptions of discrimination could be caused by all sorts of things, like a media ecosystem fiercely promoting the idea that women are being discriminated against in tech - which doesn't always match reality. For instance, Google was constantly said to have been paying women less than men, until they actually studied their salary disparities and found men were underpaid: https://www.nytimes.com/2019/03/04/technology/google-gender-...
However, you do raise a good point. The fact that so many women believe they are being discriminated against could very well be part of suppressed representation of women in STEM. The fact that perceptions of discrimination are so strong could dissuade women from entering the field, even though there's little evidence for actual discrimination in tech.